IDEAS home Printed from https://ideas.repec.org/h/spr/sptchp/978-3-031-33302-6_19.html
   My bibliography  Save this book chapter

Understanding the Application of AI-enabled Chatbots in Luxury Fashion Retailing

In: The Garment Economy

Author

Listed:
  • Ni Zeng

    (University of Manchester)

  • Gianpaolo Vignali

    (University of Manchester)

  • Daniella Ryding

    (University of Manchester)

Abstract

In recent years, chatbots, also known as dialogue/conversational systems/agents, have gotten a lot of attention and have been widely used in the fashion industry, facilitating interaction between customers and brands while also changing customer value. Furthermore, fashion brands are using chatbots to deliver personalised customer experiences because of the development of e-commerce. Despite the numerous advancements made in recent decades, chatbot technology is still in its early stages. It appears that there is still a temporal gap between what AI-chatbots might be capable of and their actual implementation. Thus, it is important that both retailers and academies understand the opportunities and challenges of using chatbot technologies. Based on this situation, the aims of this chapter are to provide readers with an initial understanding of the application of chatbot technologies in luxury fashion retail and the opportunities and challenges of chatbot technologies. To achieve the research aims, this chapter introduces the origins and background information about chatbot technology and its application in the fashion industry and critically evaluates the literature on the application of chatbot technology in the fashion industry. In addition, this chapter highlights and identifies the opportunities and challenges of chatbots in the luxury fashion industry. Finally, this chapter proposes eight relevant topics that have been addressed by text-based chatbot research in recent years, with a particular focus on luxury fashion retailing.

Suggested Citation

  • Ni Zeng & Gianpaolo Vignali & Daniella Ryding, 2023. "Understanding the Application of AI-enabled Chatbots in Luxury Fashion Retailing," Springer Texts in Business and Economics, in: Michelle Brandstrup & Léo-Paul Dana & Daniella Ryding & Gianpaolo Vignali & Myriam Caratù (ed.), The Garment Economy, pages 369-388, Springer.
  • Handle: RePEc:spr:sptchp:978-3-031-33302-6_19
    DOI: 10.1007/978-3-031-33302-6_19
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sptchp:978-3-031-33302-6_19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.